Policy gradient methods [1]}, [2]} enjoy convergence to optimality under the tabular setting and achieve good empirical performance for more challenging problems. However, with little assumption about the problem setting, they do not offer any stability guarantee for the closed loop system. We propose the projected policy gradient method that enforces the stability of the interconnected system while the policy is dynamically explored and updated.
